TY - JOUR
T1 - Genomics Research of Lifetime Depression in the Netherlands
T2 - The BIObanks Netherlands Internet Collaboration (BIONIC) Project
AU - Huider, Floris
AU - Milaneschi, Yuri
AU - Hottenga, Jouke-Jan
AU - Bot, Mariska
AU - Rietman, M Liset
AU - Kok, Almar A L
AU - Galesloot, Tessel E
AU - 't Hart, Leen M
AU - Rutters, Femke
AU - Blom, Marieke T
AU - Rhebergen, Didi
AU - Visser, Marjolein
AU - Brouwer, Ingeborg
AU - Feskens, Edith
AU - Hartman, Catharina A
AU - Oldehinkel, Albertine J
AU - de Geus, Eco J C
AU - Kiemeney, Lambertus A
AU - Huisman, Martijn
AU - Picavet, H Susan J
AU - Verschuren, W M Monique
AU - van Loo, Hanna M
AU - Penninx, Brenda W J H
AU - Boomsma, Dorret I
PY - 2024/2
Y1 - 2024/2
N2 - In this cohort profile article we describe the lifetime major depressive disorder (MDD) database that has been established as part of the BIObanks Netherlands Internet Collaboration (BIONIC). Across the Netherlands we collected data on
Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (
DSM-5) lifetime MDD diagnosis in 132,850 Dutch individuals. Currently,
N = 66,684 of these also have genomewide single nucleotide polymorphism (SNP) data. We initiated this project because the complex genetic basis of MDD requires large population-wide studies with uniform in-depth phenotyping. For standardized phenotyping we developed the LIDAS (LIfetime Depression Assessment Survey), which then was used to measure MDD in 11 Dutch cohorts. Data from these cohorts were combined with diagnostic interview depression data from 5 clinical cohorts to create a dataset of
N = 29,650 lifetime MDD cases (22%) meeting
DSM-5 criteria and 94,300 screened controls. In addition, genomewide genotype data from the cohorts were assembled into a genomewide association study (GWAS) dataset of
N = 66,684 Dutch individuals (25.3% cases). Phenotype data include
DSM-5-based MDD diagnoses, sociodemographic variables, information on lifestyle and BMI, characteristics of depressive symptoms and episodes, and psychiatric diagnosis and treatment history. We describe the establishment and harmonization of the BIONIC phenotype and GWAS datasets and provide an overview of the available information and sample characteristics. Our next step is the GWAS of lifetime MDD in the Netherlands, with future plans including fine-grained genetic analyses of depression characteristics, international collaborations and multi-omics studies.
AB - In this cohort profile article we describe the lifetime major depressive disorder (MDD) database that has been established as part of the BIObanks Netherlands Internet Collaboration (BIONIC). Across the Netherlands we collected data on
Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (
DSM-5) lifetime MDD diagnosis in 132,850 Dutch individuals. Currently,
N = 66,684 of these also have genomewide single nucleotide polymorphism (SNP) data. We initiated this project because the complex genetic basis of MDD requires large population-wide studies with uniform in-depth phenotyping. For standardized phenotyping we developed the LIDAS (LIfetime Depression Assessment Survey), which then was used to measure MDD in 11 Dutch cohorts. Data from these cohorts were combined with diagnostic interview depression data from 5 clinical cohorts to create a dataset of
N = 29,650 lifetime MDD cases (22%) meeting
DSM-5 criteria and 94,300 screened controls. In addition, genomewide genotype data from the cohorts were assembled into a genomewide association study (GWAS) dataset of
N = 66,684 Dutch individuals (25.3% cases). Phenotype data include
DSM-5-based MDD diagnoses, sociodemographic variables, information on lifestyle and BMI, characteristics of depressive symptoms and episodes, and psychiatric diagnosis and treatment history. We describe the establishment and harmonization of the BIONIC phenotype and GWAS datasets and provide an overview of the available information and sample characteristics. Our next step is the GWAS of lifetime MDD in the Netherlands, with future plans including fine-grained genetic analyses of depression characteristics, international collaborations and multi-omics studies.
U2 - 10.1017/thg.2024.4
DO - 10.1017/thg.2024.4
M3 - Article
C2 - 38497097
SN - 1832-4274
VL - 27
SP - 1
EP - 11
JO - Twin research and human genetics
JF - Twin research and human genetics
IS - 1
ER -